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Ahmadi, Mohammad; Dileepan, Parthasarati; Wheatley, Kathleen K. – Journal of Education for Business, 2016
This is the decade of data analytics and big data, but not everyone agrees with the definition of big data. Some researchers see it as the future of data analysis, while others consider it as hype and foresee its demise in the near future. No matter how it is defined, big data for the time being is having its glory moment. The most important…
Descriptors: Strategic Planning, Data, Data Analysis, Statistical Analysis
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Thomson, Hilary J.; Thomas, Sian – Research Synthesis Methods, 2013
Visual display of reported impacts is a valuable aid to both reviewers and readers of systematic reviews. Forest plots are routinely prepared to report standardised effect sizes, but where standardised effect sizes are not available for all included studies a forest plot may misrepresent the available evidence. Tabulated data summaries to…
Descriptors: Graphs, Effect Size, Statistical Data, Housing
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Yurtseven, Nihal; Bademcioglu, Mehtap – Journal of Education and Training Studies, 2016
The purpose of this study is to carry out a content analysis about the studies on teachers' professional development and to determine the tendencies in these studies. Within this scope, 60 studies that were registered to Turkish National Thesis Centre and ProQuest database between the years 2005-2015 were examined. Of the 60 studies, 37 of them…
Descriptors: Foreign Countries, Faculty Development, Content Analysis, Educational Trends
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Lai, Mark H. C.; Kwok, Oi-man – Journal of Experimental Education, 2015
Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…
Descriptors: Educational Research, Research Design, Cluster Grouping, Statistical Data
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Hutten, Leah R. – 1979
Goodness of fit of raw test score data were compared, using two latent trait models: the Rasch model and the Birnbaum three-parameter logistic model. Data were taken from various achievement tests and the Scholastic Aptitude Test (Verbal). A minimum sample size of 1,000 was required, and the minimum test length was 40 items. Results indicated that…
Descriptors: Ability Identification, Achievement Tests, College Entrance Examinations, Comparative Analysis
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Kaufman, Phillip; Bradbury, Denise – National Center for Education Statistics, 1992
The National Education Longitudinal Study of 1988 (NELS:88) is a large-scale, national longitudinal study designed and sponsored by the National Center for Education Statistics (NCES), with support from other government agencies. Beginning in the spring of 1988 with a cohort of eighth graders (25,000) attending public and private schools across…
Descriptors: At Risk Students, Longitudinal Studies, Statistical Analysis, Demography